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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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Agents10 min read
Google now supports DPoP to secure OAuth refresh tokens against theft. Access tokens remain standard Bearer tokens to keep API performance high.
From Google AI developers blog
AI1 min read
Dell and Intel report that enterprise AI budgets are burning through cloud tokens too fast. Companies are moving toward on-premises infrastructure and open-weight models to save money.
From SiliconANGLE AI
Photo: Yan Krukau
Research shows multi-agent teams cost 1.8x to 5.1x more than single agents with barely measurable quality improvements.
From The Decoder
Agents11 min read
Reflection released Beam, a 501 billion parameter text-only model for coding and science. Apache 2.0 weights are available this month after training on 23.8 trillion tokens.
From Latent Space
AI1 min read
Gemini 4 Argon tops GPT-6 Astra and Claude Opus 5.5 on most benchmarks, but access remains gated today. The post Google DeepMind Unveils Gemini 4 Argon with 1M Output Tokens for Coding, Knowledge Work and Cyber Defense appeared first on ...
From MarkTechPost
AI1 min read
Liquid AI launched d1, a decision model that provides calibrated probabilities without generating output tokens. It is available now as a hosted API.
From MarkTechPost
AI1 min read
Fireworks AI has released Ember-1, a post-trained Kimi K3 that learns to produce shorter reasoning traces instead of lowering reasoning effort. Fireworks reports about 40% fewer tokens, with output tokens per task falling from 49.3K to 2...
From MarkTechPost
AI1 min read
BottleCap AI has released ThinkingCap-Qwen3.8-27B, a fine-tune of Qwen3.8-27B that spends 37.2% fewer thinking tokens across 12 benchmarks. Macro accuracy moves from 86.65% to 85.79%, and long-context AA-LCR improves by 2.25pp. The model...
From MarkTechPost
AI1 min read
OpenAI has released GPT-6 Sol and GPT-6 Luna, 2 lower-cost models trained with methods similar to GPT-6 Astra. Sol costs $2/$10 and Luna $0.10/$0.50 per 1M tokens. Both are available now in the API, ChatGPT Work and Codex. They come with...
From MarkTechPost
AI1 min read
TypeSafe AI released Jev, a System One model that answers typed questions with probabilities instead of generating text. Input costs $0.042 per 1M tokens, and output tokens are free. We cover the API, the vendor benchmarks and their cave...
From MarkTechPost
AI1 min read
Alibaba's Qwen3.8-Omni-Flash understands audio and video, plans tasks, calls tools, and reports about 45.7% fewer tokens on OmniVideoBench. The post Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Age...
From MarkTechPost
AI1 min read
Knowledgator released GLiFormer, an encoder that extracts nested JSON without generating tokens.
From MarkTechPost
LLMs1 min read
Researchers propose NarraLite, a framework for multimodal generative recommendation that compresses visual contexts and uses latent reasoning tokens. The system improves narrative coherence in short-form drama continuation while reducing redundant computation.
From arXiv cs.CL
LLMs1 min read
Researchers released NepLEGiT, a ~30 million parameter SLM pre-trained on 4 million tokens of Nepali legal text. The model achieves a perplexity of 1.8 and 82.9% next-token accuracy.
From arXiv cs.CL
LLMs1 min read
A new paradigm named State of Thought (SoT) uses a compact controller to activate historical reasoning support based on internal model states, improving accuracy while reducing tokens and latency.
From arXiv cs.CL
Research1 min read
arXiv:2609.13491v1 Announce Type: new Abstract: The strong performance of AI Agents across an impressive variety of tasks is driving an unprecedented investment in agentic infrastructures, however the cost of processing tokens is fast in...
From arXiv cs.AI
LLMs1 min read
CueMem reconstructs query-relevant dialogue context from retrieval cues, improving long-term conversational memory for LLMs. Experiments on LoCoMo and LongMemEval demonstrate improved performance and reduced input tokens compared to full-history approaches.
From arXiv cs.CL
AI1 min read
A new architecture, Recurrent Looped Transformer (RLT), developed by a Princeton researcher, allows for unbounded temporal depth in decoder-only LLMs by carrying decoder state across all tokens. This design addresses limitations in traditional attention mechanisms and offers a potential path to improved reasoning capabilities.
From MarkTechPost
AI1 min read
Moonshot AI projects $2 billion in annual revenue for its K3 model by the end of the year, doubling its August run rate. This reflects the model’s usage, currently generating 300 billion tokens daily, despite recent declines.
From TechCrunch AI
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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